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8 Results
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Workshop
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A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace Jinyung Hong · Eun Som Jeon · Changhoon Kim · Keun Hee Park · Utkarsh Nath · 'YZ' Yezhou Yang · Pavan Turaga · Theodore P. Pavlic |
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Poster
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Thu 16:30 |
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models Weihang Xu · Maryam Fazel · Simon Du |
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Poster
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Fri 11:00 |
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma · Chao Pan · S. Rasoul Etesami · Han Zhao · Olgica Milenkovic |
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Poster
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Fri 16:30 |
Global Convergence in Training Large-Scale Transformers Cheng Gao · Yuan Cao · Zihao Li · Yihan He · Mengdi Wang · Han Liu · Jason Klusowski · Jianqing Fan |
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Poster
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Thu 11:00 |
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates Jincheng Mei · Bo Dai · Alekh Agarwal · Sharan Vaswani · Anant Raj · Csaba Szepesvari · Dale Schuurmans |
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Workshop
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Sat 9:09 |
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin |
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Workshop
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Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin |
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Workshop
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Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations Jinyung Hong · Eun Som Jeon · Changhoon Kim · Keun Hee Park · Utkarsh Nath · 'YZ' Yezhou Yang · Pavan Turaga · Theodore P. Pavlic |